Skip to main content
Download PDF

Progress towards the 2020 milestones of the end TB strategy in Cambodia: estimates of age and sex specific TB incidence and mortality from the Global Burden of Disease Study 2019

BMC Infectious Diseases volume 22, Article number: 904 (2022) Cite this article

Abstract

Background

Cambodia was recently removed from the World Health Organization’s (WHO’s) top 30 high tuberculosis (TB) burden countries. However, Cambodia’s TB burden remains substantial, and the country is on the WHO’s new global TB watchlist. We aimed to examine the levels and trends in the fatal and non-fatal TB burden in Cambodia from 1990 to 2019, assessing progress towards the WHO End TB interim milestones, which aim to reduce TB incidence rate by 20% and TB deaths by 35% from 2015 to 2020.

Methods

We leveraged the Global Burden of Disease 2019 (GBD 2019) analytical framework to compute age- and sex-specific TB mortality and incidence by HIV status in Cambodia. We enumerated TB mortality utilizing a Bayesian hierarchical Cause of Death Ensemble modeling platform. We analyzed all available data sources, including prevalence surveys, population-based tuberculin surveys, and TB cause-specific mortality, to produce internally consistent estimates of incidence and mortality using a compartmental meta-regression tool (DisMod-MR 2.1). We further estimated the fraction of tuberculosis mortality among individuals without HIV coinfection attributable to the independent effects of alcohol use, smoking, and diabetes.

Results

In 2019, there were 6500 (95% uncertainty interval 4830–8680) deaths due to all-form TB and 50.0 (43.8–57.8) thousand all-form TB incident cases in Cambodia. The corresponding age-standardized rates were 53.3 (39.9–69.4) per 100,000 population for mortality and 330.5 (289.0–378.6) per 100,000 population for incidence. From 2015 to 2019, the number of all-form TB deaths decreased by 11.8% (2.3–21.1), while the age-standardized all-form TB incidence rate decreased by 11.1% (6.3–15.6). Among individuals without HIV coinfection in 2019, alcohol use accounted for 28.1% (18.2–37.9) of TB deaths, smoking accounted for 27.0% (20.2–33.3), and diabetes accounted for 12.5% (7.1–19.0). Removing the combined effects of these risk factors would reduce all-form TB deaths by 54.2% (44.2–62.2).

Discussion

Despite significant progress in reducing TB morbidity and mortality since 1990, Cambodia is not on track to achieve the 2020 WHO End TB interim milestones. Existing programs in Cambodia can benefit from liaising with risk factor control initiatives to accelerate progress toward eliminating TB in Cambodia.

Peer Review reports

Background

Despite being a preventable and treatable disease, tuberculosis (TB) remains a major global health challenge and is a leading infectious cause of death from a single agent [1, 2]. TB disease burden is disproportionately concentrated in low-income and middle-income countries (LMICs), where 90–95 percent of all TB deaths occur [3, 4]. LMICs confront substantial challenges in controlling TB, including: limited health care access, inadequate TB diagnostic capabilities, and TB social stigma contributing to poor TB detection and delayed initiation of treatment [5,6,7,8]. High economic costs associated with TB treatment in LMICs further exacerbate suboptimal treatment uptake [9,10,11]. Moreover, poor socio-economic conditions such as poor ventilation, overcrowding, and high HIV prevalence exacerbate TB transmission [12,13,14]. These challenges illustrate an urgent need for understanding TB trends in low-resource settings to monitor and evaluate the progress of key policies and programs.

Cambodia was recently removed from the World Health Organization’s (WHO’s) top 30 high TB burden countries. However, Cambodia’s TB burden remains high, and the country remains on the WHO’s new global TB watchlist [4]. Cambodia’s last national TB prevalence survey, conducted in 2011, found an active TB prevalence of 817 (95% confidence interval 690–954) per 100,000 population [15]. While the study showed that active TB prevalence has declined substantially since the previous national TB prevalence survey in 2002, the prevalence survey revealed that Cambodia had one of the highest TB prevalence rates in the world [16]. Given that the TB burden remains high in Cambodia, there is a need for an updated assessment of the levels and trends in TB morbidity and mortality in the country.

This updated assessment provides the first opportunity to empirically investigate Cambodia’s progress towards global targets defined by the WHO End TB strategy that aims to end the TB epidemic by reducing TB mortality by 95% and incidence by 90% by 2035 [17, 18]. Interim milestones for 2020 have passed, which were defined as reductions of 20% of the incidence rate and 35% in the number of deaths. Further, previous TB burden enumeration exercises in Cambodia have yet to incorporate the contribution of potentially modifiable risk factors, such as tobacco smoke, alcohol consumption, and diabetes. This is particularly important for Cambodia as challenges in treating TB in the country are partly due to the high prevalence of risk factors such as smoking [19].

Thus far, Cambodia’s national TB program has increased directly observed treatment short course (DOTS) coverage, expanded active case finding (ACF), and defined explicit priorities in identifying cases among high-risk populations to manage TB burden [20,21,22,23]. The national program has also made progress in bridging treatment gaps by integrating HIV and TB services to screen for TB among persons living with HIV [24]. Cambodia’s TB strategic plan for 2021 through 2030 includes increasingly early identification of TB cases, providing sustained and equitable access to high quality TB services, and preventing TB transmission through awareness and behavioral communication strategies [25, 26]. The national TB program mainly concerns key and vulnerable populations including people living with HIV, elderly people (aged 55 and older), children, and people with diabetes [27, 28]. A systematic assessment of TB trends with the inclusion of these key populations may further assist in monitoring Cambodia’s national TB goals and priorities.

This study therefore aims to examine the levels and trends in TB burden in Cambodia from 1990 to 2019 by leveraging the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 study [2]. We focus on evaluating progress towards the 2020 WHO End TB interim milestones by providing estimates of TB incidence and mortality by HIV status, age, and sex. Finally, we estimate the number of TB deaths, among individuals without HIV coinfection, attributable to the independent effects of risk factors, including smoking, alcohol consumption, and diabetes. Results from this analysis will provide robust and detailed evidence around the plausibility of eliminating TB in Cambodia, while helping to inform impactful policy and program decision-making.

Methods

The GBD and tuberculosis (TB) burden estimation methods in the GBD have been published in detail [1,2,3, 29]. Input data sources for estimating the TB burden and risk factors for Cambodia specifically are available in the Additional file 1: Table S1.

Briefly, we used the Cause of Death Ensemble (CODEm) modeling framework to estimate deaths due to TB among individuals without HIV coinfection. CODEm is a Bayesian hierarchical ensemble modeling platform that leverages available cause-of-death data and information from 16 covariates (see Additional file 1: pp 11; Table S2) to derive mortality estimates for more than 200 countries including Cambodia from 1990 to 2019 [30]. TB deaths among individuals with HIV coinfection were established using a population attributable fraction approach (Additional file 1, pp 12–14).

Estimates of TB incidence and prevalence were generated using the DisMod-MR 2.1 (disease-model-Bayesian meta-regression) modeling tool [31]. DisMod-MR 2.1 is a Bayesian disease modeling tool that leverages all available morbidity and mortality data, the epidemiological relationships between disease parameters, and spatial relationships to output morbidity estimates. We distinguished morbidity estimates between TB and HIV coinfection and TB without HIV by applying the proportion of cases of TB and HIV coinfection among all cases of TB (Additional file 1, pp 25).

To analyze the attributable burden of TB among individuals without HIV coinfection due to risk factors, population attributable fractions (PAFs) were computed within the comparative risk assessments framework of the GBD [32] using the following: prevalence estimates for exposure to risk factors (smoking, alcohol consumption, and diabetes), the relative risk of TB mortality as an outcome of exposure to each risk factor, and the theoretical minimum risk exposure level. TB mortality attributable to each risk factor was computed by multiplying the PAF by the number of TB deaths for each risk–outcome pair for a given age, sex, and year.

Data presentation

We computed age-standardized rates for incidence, mortality, and PAFs using the GBD world population age standard [33]. For changes over time, we present annualized rates of change as the difference in the natural log of the values at the start and end of the time interval divided by the number of years in the interval. We provide annualized rates of change for the following time intervals: 1990–2005, 2005–2015, and 2015–2019. Percent changes in all-form TB deaths and age-standardized all-form TB incidence rates from 2015 to 2019 were also presented to evaluate progress toward the 2020 WHO End TB interim milestones. We provide 95% uncertainty intervals (UIs) for every estimate based on the 2.5th and 97.5th percentiles of the posterior distributions carried over from each step in the modeling strategy.

Results

Tuberculosis burden in Cambodia

In 2019, we estimated 6500 (95% UI 4830–8680) deaths due to all-form TB (Table 1), 50.0 (43.8–57.8) thousand all-form TB incident cases (Table 2), and 81.1 (70.5–93.4) thousand prevalent cases of active TB in Cambodia. Of these all-form TB deaths and incident cases in 2019, 457 (295–649) deaths and 2890 (2530–3340) incident cases were due to HIV-TB (Additional file 1: Table S5). Among individuals without HIV coinfection, we estimated 6050 (4410–8100) deaths due to TB and 47.1 (41.3–54.5) thousand TB incident cases (Additional file 1: Table S5). Approximately, 61.1% (46.2–71.1) of all-form deaths and 54.7% (53.0–56.5) of all-form incident cases occurred among males in 2019. Most all-form TB incident cases (79.9% [95% UI 75.8–83.4]) and deaths (57.6% [52.3–62.8]) in 2019 were in individuals aged 15–64 years (Fig. 1).

Table 1 All-form tuberculosis deaths and age-standardized rates of all-form tuberculosis mortality per 100,000 population in Cambodia by sex, 1990–2019
Full size table
Table 2 All-form tuberculosis incident cases and age-standardized rates of all-form tuberculosis incidence per 100,000 population in Cambodia by sex, 1990–2019
Full size table
Fig. 1
figure 1

Age-sex distribution of all-form tuberculosis incident cases A and deaths B in Cambodia, 2019

Full size image

The age-standardized rates of all-form TB mortality, incidence, and prevalence per 100,000 population in 2019 were the following: 53.3 (39.9–69.4), 330.5 (289.0–378.6), and 549.6 (482.0–630.4). In 1990, these figures were 164.1 (119.5–204.0), 560.7 (501.1–624.7), and 799.7 (713.7–893.2) per 100,000 population, respectively (Figs. 2, 3). The age-standardized all-form TB mortality rate per 100,000 population in 2019 was 76.8 (54.6–99.2) among males and 37.0 (23.4–59.4) among females, and the age-standardized all-form TB incidence rate per 100,000 population was 399.9 (351.4–455.1) among males and 278.7 (241.2–321.3) among females (Tables 1, 2). The age-standardized male-to-female ratio for all-form TB mortality rate was 2.21 (1.13–3.37) and for all-form TB incidence rate was 1.44 (1.33–1.54).

Fig. 2
figure 2

Temporal trends of age-standardized tuberculosis mortality rate per 100,000 population A and deaths B in Cambodia by HIV status, 1990–2019

Full size image
Fig. 3
figure 3

Temporal trends of age-standardized tuberculosis incidence rate per 100,000 population A and incident cases B in Cambodia by HIV status, 1990–2019

Full size image

Changes in tuberculosis burden over time

In Cambodia, the annualized rate of change in age-standardized mortality of TB among individuals without HIV coinfection was -5.7% (95% UI − 8.4 to − 3.2) from 2015 to 2019, which was similar to the rate of change in 2005 to 2015 (− 5.4% [− 7.1 to − 3.6]) but faster than in 1990 to 2005 (− 2.8% [− 4.4 to − 1.2]). The rates of change for mortality were slightly quicker for the earlier time intervals for females (1990–2005: − 3.1 [− 5.0 to − 0.3], 2005–2015: − 5.9 [− 8.1 to − 3.2], 2015–2019: − 5.6 [− 8.8 to − 2.0]) than males (1990–2005: − 2.5 [− 4.3 to − 0.7], 2005–2015: − 4.9 [− 6.8 to − 3.1], 2015–2019: − 5.7 [− 8.9 to − 3.1]) (Table 3).

Table 3 Annualized rates of change for age-standardized rates of tuberculosis incidence and mortality among individuals without HIV coinfection in Cambodia
Full size table

The rates of change for mortality were larger than the reduction in the annualized rate of change in age-standardized TB incidence of − 2.6 (− 4.0 to − 1.3) from 2015 to 2019, which was slightly slower than the rate of change from 2005 to 2015 (− 3.6 [− 4.3 to − 2.8]) but significantly faster than in 1990 to 2005 (− 0.8 [− 1.2 to − 0.4]). Across all time intervals, the rates of change for incidence are quicker among females (1990–2005: − 0.9 [− 1.4 to − 0.5], 2005–2015: − 4.7 [− 5.6 to − 3.8], 2015–2019: − 2.8 [− 4.8 to − 0.9]) than males (1990–2005: − 0.6 [− 1.1 to − 0.2], 2005–2015: − 2.5 [− 3.3 to − 1.7], 2005–2019: − 2.6 [− 4.3 to − 0.8) (Table 3).

From 2015 to 2019, the number of all-form TB deaths in Cambodia decreased by − 11.8% (95% UI − 21.1 to − 2.3) from 7370 (5580–9440) deaths in 2015 to 6500 (4830–8680) (Tables 1, 4). Disaggregated by sex, the reduction was − 12.0% (− 22.2 to − 2.1) for males and − 11.6% (− 21.9 to − 1.6) for females in the same period. The age group with the largest decrease in all− form TB deaths between 2015 and 2019 was the under− 5 age group, with a reduction of − 37.5% (− 50.1 to − 22.5). The remaining under-15 age groups had reductions of over − 30%. Age groups from 15 to 49 years experienced nearly − 20% reductions, while remaining age groups above 50 years had reductions below − 10% for all-form TB deaths compared to 2015 (Table 4).

Table 4 Percent change in all-form tuberculosis incident cases and deaths and age-standardized rates of all-form tuberculosis incidence and mortality in Cambodia by sex and age from 2015 to 2019
Full size table

The age-standardized all-form TB incidence rate changed by − 11.1% (95% UI − 15.6 to − 6.3) from 371.7 (327.6–424.4) incident cases per 100,000 population in 2015 to 330.5 (289.0–378.6) per 100,000 population in 2019 (Tables 2, 4). The age-standardized all-form TB incidence rate changed by -10.9% (-16.5 to -4.55) among males and by -11.5% (-18.1 to -4.8) among females from 2015 to 2019. The under-25 age groups experienced the largest reductions in all-form TB incidence rate between 2015 and 2019 with the 5 to 9 age group having the sharpest decrease at 22.3% (6.0–35.6). The age groups 25 years and older experienced reductions near 10%, but many age groups did not have all-form TB incidence rates significantly lower than in 2015 (Table 4).

Tuberculosis mortality attributable to individual risk factors

In 2019, among individuals without HIV coinfection, the age-standardized population attributable fraction due to alcohol consumption was 28.1% (95% UI 18.2–37.9), due to smoking was 27.0% (20.2–33.3), and due to diabetes was 12.5% (7.1–19.0) for Cambodia (Fig. 4). The corresponding age-standardized population attributable fractions in 1990 were lower at 5.9% (1.9–11.5) for alcohol consumption, 25.8% (19.7–32.6) for smoking, and 5.2% (2.9–8.0) for diabetes (Fig. 4; Additional file 1: Table S6). In 2019, alcohol consumption accounted for 1790 (1120–2600) TB deaths, followed by smoking (1600 [1110–2210] TB deaths), and diabetes (699 [375–1100]) TB deaths) among individuals without HIV coinfection (Additional file 1: Table S6). Removing the combined effects of these risk factors would reduce all-form TB deaths to 3390 (2370–4772) in 2019 yielding a reduction of 54.2% (44.2 to 62.2) compared to 2015.

Fig. 4
figure 4

Age-standardized population attributable fractions of tuberculosis deaths due to alcohol use, smoking, and diabetes among individuals without HIV coinfection in Cambodia by year

Full size image

Discussion

Tuberculosis (TB) burden in Cambodia remained large from a global perspective with an estimated age-standardized all-form TB mortality rate of 53.3 per 100,000 population (rank = 41/204 countries) and all-form TB incidence rate of 330.5 per 100,000 population in 2019 (rank = 19/204 countries). In the Southeast Asian region, Cambodia was among the top three countries with the highest TB incidence and mortality rates in 1990 and 2019. Despite considerable progress, Cambodia was slightly below the regional average for the percent reduction in TB incidence (51.7%) and TB mortality (68.6%) from 1990 to 2019 at 41.1% and 67.5%, respectively. Most TB deaths and cases occur among individuals without HIV coinfection in Cambodia. The reduction in TB mortality rate has been quicker than the reduction in TB incidence rate but the annualized rate of change has remained stable since 2005 for the TB mortality rate. The annual reduction for TB incidence rate had slowed down slightly, starting in 2015, compared to 2005.

Our results indicate that the annual reduction of age-standardized TB mortality in Cambodia has been improving since 1990, as the annual reduction was 5.7% from 2015 to 2019, 5.4% from 2005 to 2015, and 2.8% from 1990 to 2015. The near doubling of the annual rate of decline in the TB mortality rate between 2005 and 2015 may be primarily due to nationwide decentralization of directly observed treatment short course (DOTS) to health centers starting in 2004, resulting in near 100% DOTS coverage at the health center level [20], in doubling of case-finding [21], and in significant reductions in delays for access to TB services [34]. Another contributing factor to the observed progress may be the initiation and expansion of active case finding (ACF) programs in operational districts with high poverty rates and TB prevalence in Cambodia starting in 2005 [21]. These programs aim to identify missing TB cases and ensure early treatment initiation and have been shown to reduce TB burden [35]. Since 2005, the national TB program in Cambodia expanded ACF to high-risk populations and groups unlikely to be diagnosed when accessing health services [15, 22]. Moreover, Cambodia has piloted and implemented a myriad of interventions to improve and further expand ACF in the country during this timeframe [23, 36,37,38]. Early ACF programs have recently been strengthened to be more patient-driven due to widespread acceptance and success [39,40,41,42]. With the disruption of services due to the COVID-19 pandemic and subsequent reduction in TB case detection in many countries, strategies have been recommended to plan and monitor ACF activities during and beyond the pandemic [43]. Though early data suggests that the COVID-19 pandemic has resulted in 17,500 excess all-cause deaths in Cambodia [44], more data are needed to know the long-term impact of the COVID-19 pandemic on TB in Cambodia.

Despite significant progress in reducing TB mortality, Cambodia is not on track to achieve the End TB interim milestone for 2020 that aims to reduce the number of TB deaths by 35% in 2020 compared to 2015. We found that from 2015 to 2019, the number of all-form TB deaths decreased by 11.8%. While ACF interventions have improved access to TB services, other barriers remain high such as fear of high treatment costs [45], high rates of stigma toward those with TB [46], lack of awareness of TB-suggestive symptoms among people with TB [47], and indirect costs associated with long distances to health facilities [48], all contributing to significant delays in TB care. Widespread communication of TB awareness, of consciousness regarding TB stigma, and of the existing publicly available services for TB screening and treatment in Cambodia will be critical for meeting the End TB milestones.

Furthermore, we found that progress in decreasing TB incidence in Cambodia has been slower compared to the progress for TB mortality as we found that the annual reduction was 2.6% from 2015 to 2019, 3.6% from 2005 to 2015, and 0.8% from 1990 to 2005. Though the significant increase in the annual rate of change starting in 2005 indicates that interventions were beneficial in Cambodia, the slower progress for TB incidence compared to TB mortality suggests that there remain challenges for timely TB diagnoses. When diagnosis delays remain, untreated patients with TB can unknowingly transmit infections to healthy contacts [49]. Further, risk factors for progression from latent to active TB disease such as smoking are shown to be major challenges for TB control in Cambodia [19]. Studies have shown a lack of coordinated health service delivery for TB and TB risk factors [50, 51] in the country providing missed opportunities for early TB screening.

The slower progress in diminishing TB morbidity in Cambodia contributes to our finding that Cambodia is also not on track to achieve the End TB interim incidence milestone aiming to reduce TB incidence rate by 20% from 2015 to 2020. Our results indicate that the all-form TB incidence rate decreased by 11.1% from 2015 to 2019. To accelerate progress towards reducing TB transmission in Cambodia, decision-makers may consider using Xpert-MTB/RIF as evidence suggests the utilization of Xpert-MTB/RIF with ACF significantly increases case detection [52]. Previous work in Cambodia has shown that Xpert-MTB/RIF successfully complemented Cambodia’s ACF programs by increasing early TB diagnosis [53, 54] and was cost-effective [55, 56].

Finally, our results indicate that Cambodia’s national TB program could benefit from liaising with risk factor control initiatives to meet the milestones outlined by the WHO End TB Strategy. We found that the fraction of TB deaths attributable to alcohol and diabetes has increased significantly since 1990, while the fraction of TB deaths due to smoking remains unchanged. Further, we found that if the combined effects of smoking, alcohol consumption, and diabetes were removed, 54% of deaths would be reduced compared to 2015. Integrated services are therefore critical for reducing TB incidence as they could help prevent progression to active TB, increase early case detection, and prevent mortality. However, joint management of communicable diseases, like TB and TB risk factors, is limited in the local-level health system in Cambodia [57]. Potential integrated services may leverage Cambodia’s TB and HIV collaboration joint program as a framework for success, showing that over 90% of newly HIV positive individuals are referred to TB screening services [24]. Since risk factors such as diabetes, alcohol abuse, and smoking are significant predictors of progression from latent to active TB, this provides an opportunity for decision makers to combine their recent interest in bolstering latent TB infection diagnostic and treatment services among high-risk groups [24] by also targeting populations with these risk factors. Recognizing the synergy between smoking, alcohol, and diabetes with TB, integration of bi-directional screening strategies, support systems, and risk communication campaigns are urgently needed to reduce the burden of TB in Cambodia.

Despite different estimation strategies, the TB incidence estimates for Cambodia produced by GBD 2019 are similar to the WHO. GBD 2019 estimated 50.0 (95% UI 43.8–57.8) thousand all-form TB incident cases, while the WHO [4] estimated 47.0 (31.0–68.0) thousand incident cases for Cambodia in 2019. The similar estimates may partially be due to both groups using the available national TB prevalence survey data in Cambodia as inputs to their estimation methods. However, GBD 2019 and WHO differ in estimated TB mortality for Cambodia: GBD 2019 estimated 6500 (95% UI 4830–8680) deaths due to all-form TB and the WHO estimated 3300 (2200–4600) deaths in 2019. The difference in TB mortality estimates is due to different estimation strategies as the WHO utilized a case fatality ratio (CFR) approach using estimated incidence and CFR [58]. GBD 2019 utilized a myriad of predictive covariates (e.g., TB prevalence, latent TB infection prevalence, and TB strain prevalence-weighted transmission risk) and out-of-sample predictive validity assessment in the CODEm approach combined with statistical triangulation. The modeling strategy utilized in GBD 2019 yielded an implied CFR of approximately 13%, which was similar to neighboring countries including Indonesia (17%), Myanmar (14%), and Viet Nam (13%). The WHO generated a substantially lower implied CFR at 7%. Though the levels of TB incidence and mortality differ, GBD 2019 and the WHO have similar temporal trends as both groups estimated gradual declines in TB burden after the year 2000. Comparisons before the year 2000 cannot be examined since the WHO did not include the timeframe from 1990 to 1999 in their estimation period. The peak observed for Cambodia in the year 2000 in all-form TB incidence and mortality in our study is potentially a function of the HIV epidemic, as HIV burden was consistently at the highest levels during this timeframe in Cambodia based on modeling estimates from UNAIDS [59] and GBD 2019 [60].

The TB burden estimates in Cambodia should be interpreted in the context of the following limitations. First, the limitations of the underlying data may influence our results. For example, in the 2011 Cambodia TB prevalence survey, urban areas had lower participation rates than rural areas, and sputum samples were not collected from participants without chest radiography. Second, the availability of TB data in Cambodia is limited. To supplement the sparse TB data, we created covariates with evidence of a biological relationship or strong relationship with TB using data from various sources including population-based surveys such as Cambodia Demographic and Health surveys and data identified via systematic reviews. We also attempted to account for this limitation by using spatial relationships in our modeling, which leverages information from available data in surrounding countries. Our strategy further widened uncertainty intervals in years where data were sparse. Our estimates would improve if high-quality direct sources of TB burden measurement were consistently available in Cambodia. To base estimates more on direct measurement, Cambodia should improve surveillance systems by implementing legislation to make TB a nationally notifiable disease [24] and continue progress in creating a universal vital registration system [61].

Third, country-level results can mask subnational variation in the burden of TB and risk factors. Estimating more granular estimates, such as at the provincial level, may better inform resource allocation. Fourth, our risk factor analysis has not quantified TB burden attributable to other risk factors including malnutrition and indoor air pollution, mainly due to insufficient high-quality data. For example, TB burden attributable to malnutrition has not been characterized due to a lack of evidence for a causal link and limited data [62]. Similarly, there is limited availability of objectively measured longitudinal data to quantify TB burden attributable to indoor air pollution [63]. Lastly, our estimates represented the TB burden before the COVID-19 pandemic. The impact of the pandemic on TB transmission and mortality will require further investigation as data become available.

As Cambodia implements control initiatives from the 2021–2030 TB strategic plan, future research should monitor the impact of these policies on TB epidemiology and on progress towards the END TB targets. Future studies analyzing Cambodia’s TB policy goals could also benefit from examining trends in case detection, treatment access, and TB transmission. Further, there should be more data on the causal mechanisms for the slower annualized rate of change in incidence during the 2015–2019 period compared to the 2005–2015 period. One potential explanation is the rapid increase in the fraction of TB burden attributable to alcohol use and diabetes over time as identified in this study. However, further work is needed to examine the joint effect of risk factors and other factors such as alcohol regulation policies that might have contributed to the slower annualized rate of change.

Conclusion

We leveraged the GBD framework to provide a comprehensive assessment of the levels and trends of TB burden in Cambodia from 1990 to 2019. Our findings illustrate that Cambodia is not on track to achieve the 2020 WHO End TB interim milestones despite substantial progress in reducing TB morbidity and mortality. Cambodia may benefit from supplementing ACF programs with widespread communication campaigns of TB awareness, consciousness regarding TB stigma, and of the existing publicly available financial services for TB treatment to increase early TB treatment initiation and prevent transmission. Furthermore, the Cambodia national TB program should examine the impact of risk factors, including alcohol consumption, smoking, and diabetes, and integrate with risk factor control initiatives of non- communicable disease (NCD) at local levels as a start to a TB and NCD initiative. Addressing these risk factors for TB may significantly accelerate progress toward achieving the WHO End TB targets and eliminating TB in Cambodia.

Availability of data and materials

Data and code used in this analysis available at the Global Health Data Exchange GBD 2019 website: http://ghdx.healthdata.org/gbd-2019.

Abbreviations

WHO:

World Health Organization

TB:

Tuberculosis

LMIC:

Low-income and middle-income countries

DOT:

Directly observed therapy

ACF:

Active case finding

GBD:

Global Burden of Diseases, Injuries, and Risk Factors Study

HIV:

Human immunodeficiency virus

CODEm:

Cause of Death Ensemble

DisMod-MR:

Disease-model-Bayesian meta-regression

MI:

Mortality-to-incidence

PAF:

Population attributable fraction

UI:

Uncertainty Interval

CFR:

Case-fatality ratio

UNAIDS:

United Nations Program on HIV/AIDS

NCD:

Non-communicable disease

References

  1. Ledesma JR, Ma J, Vongpradith A, Maddison ER, Novotney A, Biehl MH, et al. Global, regional, and national sex differences in the global burden of tuberculosis by HIV status, 1990–2019: results from the Global Burden of Disease Study 2019. Lancet Infect Dis. 2022;22(2):222–41.

    Article  Google Scholar 

  2. Vos T, Lim SS, Abbafati C, Abbas KM, Abbasi M, Abbasifard M, et al. Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet. 2020;396(10258):1204–22.

    Article  Google Scholar 

  3. Kyu HH, Maddison ER, Henry NJ, Mumford JE, Barber R, Shields C, et al. The global burden of tuberculosis: results from the Global Burden of Disease Study 2015. Lancet Infect Dis. 2018;18(3):261–84.

    Article  Google Scholar 

  4. WHO. Global tuberculosis report 2021. Geneva: WHO; 2021.

  5. de Vries SG, Cremers AL, Heuvelings CC, Greve PF, Visser BJ, Bélard S, et al. Barriers and facilitators to the uptake of tuberculosis diagnostic and treatment services by hard-to-reach populations in countries of low and medium tuberculosis incidence: a systematic review of qualitative literature. Lancet Infect Dis. 2017;17(5):e128–43.

    Article  Google Scholar 

  6. Teo AKJ, Singh SR, Prem K, Hsu LY, Yi S. Duration and determinants of delayed tuberculosis diagnosis and treatment in high-burden countries: a mixed-methods systematic review and meta-analysis. Respir Res. 2021;22(1):251. https://doi.org/10.1186/s12931-021-01841-6.

    Article  PubMed Central  Google Scholar 

  7. Getnet F, Demissie M, Assefa N, Mengistie B, Worku A. Delay in diagnosis of pulmonary tuberculosis in low-and middle-income settings: systematic review and meta-analysis. BMC Pulm Med. 2017;17(1):202. https://doi.org/10.1186/s12890-017-0551-y.

    Article  PubMed Central  Google Scholar 

  8. Courtwright A, Turner AN. Tuberculosis and stigmatization: pathways and interventions. Public Health Rep. 2010;125(4 suppl):34–42. https://doi.org/10.1177/00333549101250S407.

    Article  PubMed Central  Google Scholar 

  9. Tanimura T, Jaramillo E, Weil D, Raviglione M, Lonnroth K. Financial burden for tuberculosis patients in low- and middle-income countries: a systematic review. Eur Respir J. 2014;43(6):1763–75. https://doi.org/10.1183/09031936.00193413.

    Article  PubMed Central  Google Scholar 

  10. Barter DM, Agboola SO, Murray MB, Bärnighausen T. Tuberculosis and poverty: the contribution of patient costs in sub-Saharan Africa—a systematic review. BMC Public Health. 2012;12(1):980. https://doi.org/10.1186/1471-2458-12-980.

    Article  PubMed Central  Google Scholar 

  11. Ukwaja KN, Modebe O, Igwenyi C, Alobu I. The economic burden of tuberculosis care for patients and households in Africa: a systematic review. Int J Tuberc Lung Dis. 2012;16(6):733–9. https://doi.org/10.5588/ijtld.11.0193.

    Article  CAS  Google Scholar 

  12. Nava-Aguilera E, Andersson N, Harris E, Mitchell S, Hamel C, Shea B, et al. Risk factors associated with recent transmission of tuberculosis: systematic review and meta-analysis. Int J Tuberc Lung Dis. 2009;13(1):17–26.

    CAS  Google Scholar 

  13. Nadjane Batista Lacerda S, Cristina de Abreu Temoteo R, Maria Ribeiro Monteiro de Figueiredo T, Darliane Tavares de Luna F, Alves Nunes de Sousa M, Carlos de Abreu L, et al. Individual and social vulnerabilities upon acquiring tuberculosis: a literature systematic review. Int Arch Med 2014;7(1):35.

  14. Aaron L, Saadoun D, Calatroni I, Launay O, Mémain N, Vincent V, et al. Tuberculosis in HIV-infected patients: a comprehensive review. Clin Microbiol Infect. 2004;10(5):388–98.

    Article  CAS  Google Scholar 

  15. Japan International Cooperation Agency, Ministry of Health (Cambodia), National Center for Tuberculosis and Leprosy Control (CENAT) (Cambodia), Research Institute of Tuberculosis/Japan Anti-Tuberculosis Association (RIT/JATA) WHO (WHO). Cambodia National Tuberculosis Prevalence Survey 2010–2011.

  16. Mao TE, Okada K, Yamada N, Peou S, Ota M, Saint S, et al. Cross-sectional studies of tuberculosis prevalence in Cambodia between 2002 and 2011. Bull World Health Organ. 2014;92(8):573–81.

    Article  PubMed Central  Google Scholar 

  17. Floyd K, Glaziou P, Zumla A, Raviglione M. The global tuberculosis epidemic and progress in care, prevention, and research: an overview in year 3 of the End TB era. Lancet Respir Med. 2018;6(4):299–314.

    Article  Google Scholar 

  18. Castro KG, Colvin CE. Updated global tuberculosis targets: a welcome ambition in need of attention to quality of care. Int J Tuberc Lung Dis. 2018;22(7):709–709. https://doi.org/10.5588/ijtld.18.0344.

    Article  Google Scholar 

  19. Singh PN, Yel D, Kheam T, Hurd G, Job JS. Cigarette smoking and tuberculosis in Cambodia: findings from a national sample. Tob Induc Dis. 2013;11(1):8.

    Article  PubMed Central  CAS  Google Scholar 

  20. The Tuberculosis Coalition for Technical Assistance. Community-DOTS and PPM Evaluation in Cambodia. Phnom Penh; 2008.

  21. World Health Organization. The Kingdom of Cambodia: Joint Review of the National TB Programme, 2012. Manila; 2013.

  22. Eang MT, Satha P, Yadav RP, Morishita F, Nishikiori N, Van-Maaren P, et al. Early detection of tuberculosis through community-based active case finding in Cambodia. BMC Public Health. 2012;12(1):469. https://doi.org/10.1186/1471-2458-12-469.

    Article  PubMed Central  Google Scholar 

  23. Morishita F, Eang MT, Nishikiori N, Yadav RP. Increased case notification through active case finding of tuberculosis among household and neighbourhood contacts in Cambodia. Hozbor DF, editor. PLoS ONE. 2016;11(3):e0150405. https://doi.org/10.1371/journal.pone.0150405.

    Article  PubMed Central  CAS  Google Scholar 

  24. National Center for Tuberculosis and Leprosy Control. National Strategic Plan to End Tuberculosis in Cambodia 2021–2030. Phnom Penh; 2021.

  25. Stop TB Partnership. Empowering networks to demand for TB services (END TB!). Phnom Penh; 2022.

  26. World Health Organization. The western pacific regional framework to end TB. Manila; 2022.

  27. National Center for Tuberculosis and Leprosy Control. Key population assessment in the national tuberculosis response in Cambodia. Phnom Penh: National Center for Tuberculosis and Leprosy Control; 2017.

  28. Boudarene L, James R, Coker R, Khan MS. Are scientific research outputs aligned with national policy makers’ priorities? A case study of tuberculosis in Cambodia. Health Policy Plan. 2017;32(suppl 2):ii3-11.

    Article  Google Scholar 

  29. Kyu HH, Maddison ER, Henry NJ, Ledesma JR, Wiens KE, Reiner R, et al. Global, regional, and national burden of tuberculosis, 1990–2016: results from the Global Burden of Diseases, Injuries, and Risk Factors 2016 Study. Lancet Infect Dis. 2018;18(12):1329–49.

    Article  Google Scholar 

  30. Foreman KJ, Lozano R, Lopez AD, Murray CJ. Modeling causes of death: an integrated approach using CODEm. Popul Health Metr. 2012;10(1):1. https://doi.org/10.1186/1478-7954-10-1.

    Article  PubMed Central  Google Scholar 

  31. Flaxman AD, Vos T, Murray CJ. An integrative metaregression framework for descriptive epidemiology. 1st ed. Seattle: University of Washington; 2015.

    Google Scholar 

  32. Murray CJL, Aravkin AY, Zheng P, Abbafati C, Abbas KM, Abbasi-Kangevari M, et al. Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet. 2020;396(10258):1223–49.

    Article  Google Scholar 

  33. Wang H, Abbas KM, Abbasifard M, Abbasi-Kangevari M, Abbastabar H, Abd-Allah F, et al. Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950–2019: a comprehensive demographic analysis for the Global Burden of Disease Study 2019. Lancet. 2020;396(10258):1160–203.

    Article  Google Scholar 

  34. Saly S, Onozaki I, Ishikawa N. Decentralized DOTS shortens delay to TB treatment significantly in Cambodia. Kekkaku. 2006;81(7):467–74.

    Google Scholar 

  35. Burke RM, Nliwasa M, Feasey HRA, Chaisson LH, Golub JE, Naufal F, et al. Community-based active case-finding interventions for tuberculosis: a systematic review. Lancet Public Health. 2021;6(5):e283–99.

    Article  PubMed Central  Google Scholar 

  36. Morishita F, Furphy VB, Kobayashi M, Nishikiori N, Eang MT, Yadav RP. Tuberculosis case-finding in Cambodia: analysis of case notification data, 2000 to 2013. Western Pac Surveill Response J. 2015;6(1):15–24.

    Article  PubMed Central  Google Scholar 

  37. Yadav RP, Nishikiori N, Satha P, Eang MT, Lubell Y. Cost-effectiveness of a tuberculosis active case finding program targeting household and neighborhood contacts in Cambodia. Am J Trop Med Hyg. 2014;90(5):866–72. https://doi.org/10.4269/ajtmh.13-0419.

    Article  PubMed Central  Google Scholar 

  38. Morishita F, Yadav RP, Eang MT, Saint S, Nishikiori N. Mitigating financial burden of tuberculosis through active case finding targeting household and neighbourhood contacts in Cambodia. Lubell Y, editor. PLoS ONE. 2016;11(9):e0162796. https://doi.org/10.1371/journal.pone.0162796.

    Article  PubMed Central  CAS  Google Scholar 

  39. Teo AKJ, Prem K, Tuot S, Ork C, Eng S, Pande T, et al. Mobilising community networks for early identification of tuberculosis and treatment initiation in Cambodia: an evaluation of a seed-and-recruit model. ERJ Open Res. 2020;6(2):00368–2019. https://doi.org/10.1183/23120541.00368-2019.

    Article  PubMed Central  Google Scholar 

  40. Camelique O, Scholtissen S, Dousset JP, Bonnet M, Bastard M, Hewison C. Mobile community-based active case-finding for tuberculosis among older populations in rural Cambodia. Int J Tuberc Lung Dis. 2019;23(10):1107–14.

    Article  CAS  Google Scholar 

  41. Tuot S, Teo AKJ, Cazabon D, Sok S, Ung M, Ly S, et al. Acceptability of active case finding with a seed-and-recruit model to improve tuberculosis case detection and linkage to treatment in Cambodia: a qualitative study. Galea JT, editor. PLoS ONE. 2019;14(7):e0210919. https://doi.org/10.1371/journal.pone.0210919.

    Article  PubMed Central  CAS  Google Scholar 

  42. Teo AKJ, Prem K, Evdokimov K, Ork C, Eng S, Tuot S, et al. Effect of community active case-finding strategies for detection of tuberculosis in Cambodia: study protocol for a pragmatic cluster randomized controlled trial. Trials. 2020;21(1):220. https://doi.org/10.1186/s13063-020-4138-1.

    Article  PubMed Central  Google Scholar 

  43. Singh AA, Creswell J, Bhatia V. Framework for planning and monitoring active TB case finding interventions to meet the global targets in the COVID-19 era and beyond: South-East Asia perspective. PLOS Global Public Health. 2021;1(11): e0000073.

    Article  Google Scholar 

  44. Wang H, Paulson KR, Pease SA, Watson S, Comfort H, Zheng P, et al. Estimating excess mortality due to the COVID-19 pandemic: a systematic analysis of COVID-19-related mortality, 2020–21. Lancet. 2022. https://doi.org/10.1016/S0140-6736(21)02796-3.

    Article  PubMed Central  Google Scholar 

  45. Yi S, Teo AKJ, Sok S, Tuot S, Tieng S, Khun KE, et al. Barriers in access to services and information gaps by genders and key populations in the national Tuberculosis programme in Cambodia. Glob Public Health. 2021. https://doi.org/10.1080/17441692.2021.1954226.

    Article  Google Scholar 

  46. Teo AKJ, Tan RKJ, Smyth C, Soltan V, Eng S, Ork C, et al. Characterizing and measuring tuberculosis stigma in the community: a mixed-methods study in Cambodia. Open Forum Infect Dis. 2020. https://doi.org/10.1093/ofid/ofaa422/5906589.

    Article  PubMed Central  Google Scholar 

  47. Teo AKJ, Ork C, Eng S, Sok N, Tuot S, Hsu LY, et al. Determinants of delayed diagnosis and treatment of tuberculosis in Cambodia: a mixed-methods study. Infect Dis Poverty. 2020;9(1):49. https://doi.org/10.1186/s40249-020-00665-8.

    Article  PubMed Central  Google Scholar 

  48. Lorent N, Choun K, Malhotra S, Koeut P, Thai S, Khun KE, et al. Challenges from tuberculosis diagnosis to care in community-based active case finding among the urban poor in Cambodia: a mixed-methods study. PLoS ONE. 2015;10(7): e0130179.

    Article  PubMed Central  Google Scholar 

  49. Golub JE, Bur S, Cronin WA, Gange S, Baruch N, Comstock GW, et al. Delayed tuberculosis diagnosis and tuberculosis transmission. Int J Tuberc Lung Dis. 2006;10(1):24–30.

    CAS  Google Scholar 

  50. Nang EEK, Dary C, Hsu LY, Sor S, Saphonn V, Evdokimov K. Patients’ and healthcare providers’ perspectives of diabetes management in Cambodia: a qualitative study. BMJ Open. 2019;9(11):e032578. https://doi.org/10.1136/bmjopen-2019-032578.

    Article  PubMed Central  Google Scholar 

  51. Jeon CY, Harries AD, Baker MA, Hart JE, Kapur A, Lönnroth K, et al. Bi-directional screening for tuberculosis and diabetes: a systematic review. Trop Med Int Health. 2010;15(11):1300–14. https://doi.org/10.1111/j.1365-3156.2010.02632.x.

    Article  Google Scholar 

  52. Calligaro GL, Zijenah LS, Peter JG, Theron G, Buser V, McNerney R, et al. Effect of new tuberculosis diagnostic technologies on community-based intensified case finding: a multicentre randomised controlled trial. Lancet Infect Dis. 2017;17(4):441–50.

    Article  Google Scholar 

  53. Codlin AJ, Monyrath C, Ky M, Gerstel L, Creswell J, Eang MT. Results from a roving, active case finding initiative to improve tuberculosis detection among older people in rural cambodia using the Xpert MTB/RIF assay and chest X-ray. J Clin Tuberc Other Mycobact Dis. 2018;13:22–7.

    Article  PubMed Central  Google Scholar 

  54. Creswell J, Codlin AJ, Andre E, Micek MA, Bedru A, Carter EJ, et al. Results from early programmatic implementation of Xpert MTB/RIF testing in nine countries. BMC Infect Dis. 2014;14(1):2. https://doi.org/10.1186/1471-2334-14-2.

    Article  PubMed Central  Google Scholar 

  55. Teo AKJ, Prem K, Wang Y, Pande T, Smelyanskaya M, Gerstel L, et al. Economic evaluation of community tuberculosis active case-finding approaches in Cambodia: a quasi-experimental study. Int J Environ Res Public Health. 2021;18(23):12690.

    Article  PubMed Central  Google Scholar 

  56. Pallas SW, Courey M, Hy C, Killam W, Warren D, Moore B. Cost analysis of tuberculosis diagnosis in Cambodia with and without Xpert® MTB/RIF for people living with HIV/AIDS and people with presumptive multidrug-resistant tuberculosis. Appl Health Econ Health Policy. 2018;16(4):537–48. https://doi.org/10.1007/s40258-018-0397-3.

    Article  PubMed Central  Google Scholar 

  57. Jacobs B, Hill P, Bigdeli M, Men C. Managing non-communicable diseases at health district level in Cambodia: a systems analysis and suggestions for improvement. BMC Health Serv Res. 2015;16(1):32. https://doi.org/10.1186/s12913-016-1286-9.

    Article  Google Scholar 

  58. Dodd PJ, Sismanidis C, Glaziou P. Methods for estimating tuberculosis incidence and mortality by age and sex. Int J Epidemiol. 2021;50(2):570–7.

    Article  PubMed Central  Google Scholar 

  59. Joint United Nations Programme on HIV/AIDS. HIV estimates with uncertainty bounds 1990-Present. UNAIDS. 2022. https://www.unaids.org/en/resources/documents/2022/HIV_estimates_with_uncertainty_bounds_1990-present. Accessed 23 Nov 2022.

  60. Jahagirdar D, Walters MK, Novotney A, Brewer ED, Frank TD, Carter A, et al. Global, regional, and national sex-specific burden and control of the HIV epidemic, 1990–2019, for 204 countries and territories: the Global Burden of Diseases Study 2019. Lancet HIV. 2021;8(10):e633–51.

    Article  Google Scholar 

  61. Đoković Z. Snapshot of civil registration and vital statistics systems of Cambodia. Centre of Excellence for Civil Registration and Vital Statistics (CRVS) Systems; 2020. http://hdl.handle.net/10625/60378. Accessed 23 Nov 2022.

  62. Narasimhan P, Wood J, MacIntyre CR, Mathai D. Risk factors for tuberculosis. Pulm Med. 2013;2013:1–11.

    Article  Google Scholar 

  63. Sumpter C, Chandramohan D. Systematic review and meta-analysis of the associations between indoor air pollution and tuberculosis. Trop Med Int Health. 2013;18(1):101–8. https://doi.org/10.1111/tmi.12013.

    Article  Google Scholar 

Download references

Acknowledgements

We thank Sokleaph Cheng from Institut Pasteur du Camboge for her insightful comments on an earlier version of this paper.

Funding

Funding for this study was obtained from the Bill & Melinda Gates Foundation. The funder had no role in study design, data collection, data analysis, data interpretation, or the writing of the report.

Author information

Author notes

  1. Jianing Ma, Avina Vongpradith and Jorge R. Ledesma co-first authors

Authors and Affiliations

  1. Institute for Health Metrics and Evaluation, University of Washington, 3980 15Th Ave. NE, Seattle, WA, 98195, USA

    Jianing Ma, Avina Vongpradith, Jorge R. Ledesma, Amanda Novotney, Simon I. Hay, Christopher J. L. Murray & Hmwe H. Kyu

  2. Department of Health Metrics Sciences, University of Washington, Seattle, WA, USA

    Simon I. Hay, Christopher J. L. Murray & Hmwe H. Kyu

  3. Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore

    Siyan Yi

  4. KHANA Center for Population Health Research, Phnom Penh, Cambodia

    Siyan Yi

  5. Center for Global Health Research, Public Health Program, Touro University California, Vallejo, CA, USA

    Siyan Yi

  6. Sihanouk Hospital Center of Hope, Phnom Penh, Cambodia

    Kruy Lim

Authors
  1. Jianing Ma
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Avina Vongpradith
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jorge R. Ledesma
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Amanda Novotney
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Siyan Yi
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Kruy Lim
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Simon I. Hay
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Christopher J. L. Murray
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Hmwe H. Kyu
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

JM, AV, JRL, and HHK devised the study. JM, AV, and JRL performed the data analysis. JM, AV, and JRL cataloged, extracted, and cleaned data, and designed and coded figures and tables. JM, AV, JRL, and HHK wrote the original manuscript. JM, AV, JRL, AN, SY, KL, SIH, CJLM, and HHK critically revised the manuscript for important intellectual content and gave final approval to the submitted version of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Hmwe H. Kyu.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1: Table S1.

Input data used for modeling the burden of tuberculosis in Cambodia. Figure S1. Flowchart. Table S2. Candidate covariates and priors evaluated in CODEm for tuberculosis. Figure S2. Flowchart. Figure S3. Flowchart. Table S3. Crosswalk adjustment factors for Tuberculosis prevalence surveys. Figure S4. Example of statistical triangulation and model fit to the data in DisMod MR 2.1 among males in Cambodia. Table S4. Beta coefficients and exponentiated values from the DisMod model. Table S5. Tuberculosis deaths and incident cases and age-standardized rates of tuberculosis mortality and incidence per 100,000 population by HIV status in Cambodia, 1990–2019. Table S6. Tuberculosis deaths attributable and age-standardized population attributable fractions to smoking, alcohol use, and diabetes among individuals without HIV coinfection in Cambodia, 1990–2019. Table S7. Tuberculosis age-standardized population attributable fractions to smoking, alcohol use, and diabetes among males and females without HIV coinfection in Cambodia, 1990–2019. Figure S5. Temporal trends of age-standardized tuberculosis mortality rate per 100,000 population A and deaths B in Cambodia by HIV status and sex, 1990–2019. Figure S6. Temporal trends of age-standardized tuberculosis incidence rate per 100,000 population A and incident cases B in Cambodia by HIV status and sex, 1990–2019. Figure S7. Age-standardized population attributable fractions of tuberculosis deaths due to alcohol use, smoking, and diabetes among individuals without HIV coinfection in Cambodia by year and sex.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ma, J., Vongpradith, A., Ledesma, J.R. et al. Progress towards the 2020 milestones of the end TB strategy in Cambodia: estimates of age and sex specific TB incidence and mortality from the Global Burden of Disease Study 2019. BMC Infect Dis 22, 904 (2022). https://doi.org/10.1186/s12879-022-07891-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12879-022-07891-5

Keywords

BMC Infectious Diseases

ISSN: 1471-2334

Contact us